Sorting algorithm
In computer science, a sorting algorithm is an algorithm that puts elements of a list into an order.
At a glance
Key signals
0% cross fields · reaches 6 more
- Computer Science
- Algorithms
- Explanation
- Examples
- Misconception
- Sourced relations 2
- Attribution
Dependencies
What this concept builds on and what it makes possible — derived from the atlas’s dependency, causal and structural relations, not from every related edge.
System context
Sorting algorithmis aAlgorithmEstablished
sorting algorithm is a kind of Algorithm.
Mechanism: A sorting algorithm is a procedure that arranges items into order; different ones trade speed, memory and simplicity.
- Wikipedia (English & German editions) verifiedmoderate evidence
Structural role & consequence
Interpreted from the current atlas graph — what the connections mean, not just how many there are.
Currently dark in the atlas: no key date stored · 2 of 2 of its relations lack claim-level evidence.
atlas representation · Describes the current Thinking OS representation, not the state of the world.
Structural neighbourhood: 2 → 18 → 88 concepts reachable within 3 hops.
structural · Structural reach — being reachable is not the same as being understood.
All 2 of its relationships stay within its own discipline — a field-specific concept in the current atlas.
structural · Structural graph analysis — not a claim of importance, causation or history.
cross-field
2 within-field, 0 cross-field
Strengths & constraints
Constraints
- Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
- No dated history stored — the atlas records no key date for this concept. atlas representation
Conditions
- Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural
Seen through each discipline
How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.
Through this lens it connects to Algorithm and Array data structure.
Through this lens it connects to Algorithm.
Check yourself
A quick check against a common misconception. Nothing is scored — picking the tempting-but-wrong answer just flags an idea worth revisiting.
Which statement is correct?
As long as a sort gives the right order, the method doesn't matter.
All correct sorts give the same order, but the choice decides speed. On a million items an n·log n sort finishes in moments while an n² sort can take ages.
Look for: Learner ignores efficiency and judges a sort only by correctness.
Related ideas to explore
Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.
A sorting algorithm is a step-by-step method for putting a list in order — smallest to largest, or A to Z. Different methods do the same job but take very different amounts of time on big lists.
Sorting algorithms arrange data by a key. They are the classic case study in efficiency: simple methods like bubble sort take about n² steps, while clever ones like merge sort take about n·log n — a huge difference once n is large.
- Connects 2 other ideas across 2 disciplines.
- A cross-disciplinary bridge — its connections reach into 6 other fields.
- Most of its connections are of the “Kind & structure” kind.
Derived from the graph’s real structure — observations, not a score.
Sources
- Wikipedia (English & German editions) verifiedmoderate evidence
- Wikidata verifiedmoderate evidence